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Who Is Responsible If Healthcare AI Fails?

Unite.AI

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. Both categories have their risks.

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Bridging code and conscience: UMD’s quest for ethical and inclusive AI

AI News

As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI development is becoming a research priority. Kameswaran suggests developing audit tools for advocacy groups to assess AI hiring platforms for potential discrimination.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

Open-source projects, academic institutions, startups and legacy tech companies all contributed to the development of foundation models. They are used in everything from robotics to tools that reason and interact with humans. “Foundation models make deploying AI significantly more scalable, affordable and efficient.”

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Using AI for Predictive Analytics in Aviation Safety

Aiiot Talk

Black-box AI poses a serious concern in the aviation industry. In fact, explainability is a top priority laid out in the European Union Aviation Safety Administration’s first-ever AI roadmap. Explainable AI, sometimes called white-box AI, is designed to have high transparency so logic processes are accessible.

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What Is Trustworthy AI?

NVIDIA

Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

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Unlocking the Black Box: LIME and SHAP in the Realm of Explainable AI

Mlearning.ai

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?

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The NVIDIA AI Hackathon at ODSC West, Reinforcement Learning for Finance, the Future of Humanoid AI…

ODSC - Open Data Science

The NVIDIA AI Hackathon at ODSC West, Reinforcement Learning for Finance, the Future of Humanoid AI Robotics, and Detecting Anomalies Unleash Innovation at the NVIDIA AI Hackathon at ODSC West 2024 Ready to put your data science skills to the test? Where do explainable AI models come into play?